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Choosing initial centroids - PowerPoint PPT Presentation

unsupervised learning - clustering

Inter-cluster distances are maximized. Intra-cluster distances are minimized. unsupervised learning - clustering. Finding groups of objects such that the objects in a group will be similar (or related) to one another and different from (or unrelated to) the objects in other groups.

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1.92k views • 92 slides

PARTITIONAL CLUSTERING

PARTITIONAL CLUSTERING. ACM Student Chapter, Heritage Institute of Technology 17 th February , 2012 SIGKDD Presentation by Megha Nangia J. M. Mansa Koustav Mullick. Why do we cluster? . Clustering results are used: As a stand-alone tool to get insight into data distribution

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1.12k views • 55 slides

DATA MINING

DATA MINING. CLUSTERING K-Means. Clustering Definition. Techniques that are used to divide data objects into groups A form of classification in that it creates a labelling object with class(cluster) labels. The labels are derived from the data

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289 views • 14 slides

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Choosing initial centroids - PowerPoint PPT Presentation

unsupervised learning - clustering

PARTITIONAL CLUSTERING

DATA MINING